Queering the Social Studies: Lessons to be Learned from Canadian Secondary School Gay-Straight Alliances
Bibliographic record
Abstract
This study examines what Social Studies teachers can learn from Gay-Straight Alliances (GSA) in terms of the content that club members examine and the queer pedagogical approaches they employ. Findings reveal how educators can borrow students’ queer teaching and learning practices, and integrate their insights within Social Studies classrooms to disrupt (hetero/cis)normativity. Data derived from semi-structured interviews with five Canadian high school GSA members were analyzed using the queer theoretical and pedagogical insights of Britzman (1995. Educational Theory, 45(2), 151–165 ; 1998 . Lost subjects, contested objects: towards a psychoanalytic inquiry of learning. New York, NY: State University of New York Press), Sedgwick (1990/2008. Epistemology of the closet. Berkeley and Los Angeles, CA: University of California Press.) , and Shlasko (2005 Equity & Excellence in Education, 38(2), 123–134) . Three prominent themes emerged: (1) GSAs’ queer educative role compensated for a void in LGBTQ curricular content. Although LGBTQ-inclusive content was evident within some Social Studies, English, and French classes participants called for their teachers to integrate more content that disrupts homophobia and transphobia; (2) the personal characteristics of GSA members provide insight into how Social Studies educators can mirror students’ drive to learn about and challenge preconceived and (hetero/cis)normative assumptions/beliefs; and (3) GSA's queer educational approaches differed from the (hetero/cis)normative teaching and learning practices of their educators. GSA members engaged in student-led dialogue, and spearheaded queer initiatives and events to contest anti-LGBTQ attitudes at their schools. It is argued that when educators follow the lead of GSA members they may enhance their approach to and engagement with LGBTQ topics, and expand the queer pedagogical potential of the Social Studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.040 | 0.016 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".